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SAP Datasphere

SAP Datasphere (formerly known as SAP Data Warehouse Cloud) is a comprehensive data management solution designed to enable organizations to integrate, harmonize, and manage their data in a unified environment. It serves as a key component in SAP's strategy to help enterprises become intelligent data-driven organizations. Here’s an overview of SAP Datasphere and its capabilities.

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Key Features of SAP Datasphere:

  1. Unified Data Access: Access data from various sources, including on-premise systems, cloud services, and third-party applications, in a single environment.

  2. Data Integration: Integrate data from multiple sources seamlessly using pre-built connectors and integration tools.

  3. Data Modelling: Create complex data models using a visual interface.Support for SQL-based and graphical data modeling.

  4. Data Virtualization: Access data without physically moving it, ensuring real-time data availability and reducing data duplication.

  5. Data Governance and Security: Implement data governance policies to ensure data quality and compliance.Secure data access with role-based access controls and encryption.

  6. Collaboration: Enable collaboration between different teams within the organization, such as data engineers, data scientists, and business analysts.

  7. Scalability: Scale your data environment as needed, leveraging cloud infrastructure for elasticity.

  8. Advanced Analytics: Perform advanced analytics, including predictive and machine learning capabilities, using integrated SAP Analytics Cloud tools.

  9. Semantic Layer: Create a semantic layer to provide a business-friendly view of your data, making it easier for non-technical users to understand and use the data.

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Integration with Other SAP Solutions:​

  1. SAP Analytics Cloud (SAC): Integrates seamlessly with SAC for advanced analytics and visualization capabilities.

  2. SAP Data Intelligence: Use SAP Data Intelligence for advanced data orchestration, machine learning, and data processing capabilities.

  3. SAP S/4HANA: Integrate with SAP S/4HANA to leverage operational data for analytics and reporting.

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What is the difference between SAP Datasphere and SAC?​

SAP DataSphere is for data storage, data governance, and data security. SAC is just a reporting tool with limited data management capabilities. DataSphere is designed for long-term data storage and a centralized data management system, SAC aims to create an interactive dashboard and application used by end users.

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Benefits of SAP DataSphere:

  • A secure environment that supports many data application requirements, including real-time analytics, database access management, and data science(machine learning).

  • A space offers a secure modeling environment tailored for various departments or use cases.

  • Connectivity to various data sources is ensured, encompassing both SAP and non-SAP clouds and data lakes.

  • A no-code and low-code architecture supports the custom modeling needs of business users.

  • Seamless integration with SAP Analytics Cloud, leveraging Microsoft Excel and the OData public API to support other clients, tools, and applications.

  • Various visualizations and comprehensive data analysis capabilities.

  • Graphical effects and genetic analysis to visualize changes in data movement and other dependencies

  • SAC Introduction & Navigation
    SAP Analytics Cloud (SAC) is a comprehensive solution for business intelligence, planning, and predictive analytics within a single platform. It enables users to connect to various data sources, create interactive dashboards, and generate insights through advanced analytics and machine learning. Navigating SAP Analytics Cloud is user-friendly, with a centralized homepage that offers quick access to data modeling, story creation, and analytic applications. The intuitive interface includes guided menus and tooltips to help users easily explore and utilize the platform's robust features for informed decision-making.
  • SAC Models
    SAP Analytics Cloud (SAC) models are foundational elements used to structure and organize data for analysis and visualization. With SAC models, users can perform complex calculations, define dimensions and measures, and create hierarchies to better understand their data.
  • SAC Stories & Analytic Applications
    SAP Analytics Cloud stories are interactive reports and dashboards that present data insights through visualizations, narratives, and analytics. These stories enable users to explore data in an engaging and intuitive manner, using charts, graphs, tables, and other visual elements to convey information effectively. SAP Analytics Cloud analytic applications are customizable and interactive applications designed to provide advanced data analysis and visualization capabilities. These applications allow developers to create sophisticated, tailor-made solutions that combine various analytics components, such as charts, tables, and maps, with scripting and custom widgets to meet specific business requirements.
  • SAC Planning
    SAP Analytics Cloud planning capabilities offer integrated tools for financial and operational planning, budgeting, and forecasting. These features allow organizations to align their strategic goals with real-time data and collaborative input, ensuring accurate and agile planning processes.
  • SAC Collaborative
    SAP Analytics Cloud supports collaborative videos, enabling teams to create, share, and discuss video content directly within the platform. These videos can be used to explain complex data insights, provide training, or share updates on projects. Collaborative features allow users to add comments, annotations, and feedback, fostering a more interactive and engaging way to communicate information.
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